Mapping deforestation and urban expansion in Freetown, Sierra Leone, from pre- to post-war economic recovery.

Freetown, the capital of Sierra Leone has experienced vast land-cover changes over the past three decades. In Sierra Leone, however, availability of updated land-cover data is still a problem even for environmental managers. This study was therefore, conducted to provide up-to-date land-cover data for Freetown. Multi-temporal Landsat data at 1986, 2001, and 2015 were obtained, and a maximum likelihood supervised classification was employed. Eight land-cover classes or categories were recognized as follows: water, wetland, built-up, dense forest, sparse forest, grassland, barren, and mangrove. Land-cover changes were mapped via post-classification change detection. The persistence, gain, and loss of each land-cover class, and selected land conversions were also quantified. An overall classification accuracy of 87.3 % and a Kappa statistic of 0.85 were obtained for the 2015 map. From 1986 to 2015, water, built-up, grassland, and barren had net gains, whereas forests, wetlands, and mangrove had net loses. Conversion analyses among forests, grassland, and built-up show that built-up had targeted grassland and avoided forests. This study also revealed that, the overall land-cover change at 2001-2015 was higher (28.5 %) than that recorded at 1986-2001 (20.9 %). This is attributable to the population increase in Freetown and the high economic growth and infrastructural development recorded countrywide after the civil war. In view of the rapid land-cover change and its associated environmental impacts, this study recommends the enactment of policies that would strike a balance between urbanization and environmental sustainability in Freetown.

Improving outcomes for caregivers through treatment of young people affected by war: a randomized controlled trial in Sierra Leone.

OBJECTIVE: To measure the benefits to household caregivers of a psychotherapeutic intervention for adolescents and young adults living in a war-affected area. METHODS: Between July 2012 and July 2013, we carried out a randomized controlled trial of the Youth Readiness Intervention--a cognitive-behavioural intervention for war-affected young people who exhibit depressive and anxiety symptoms and conduct problems--in Freetown, Sierra Leone. Overall, 436 participants aged 15-24 years were randomized to receive the intervention (n = 222) or care as usual (n = 214). Household caregivers for the participants in the intervention arm (n = 101) or control arm (n = 103) were interviewed during a baseline survey and again, if available (n = 155), 12 weeks later in a follow-up survey. We used a burden assessment scale to evaluate the burden of care placed on caregivers in terms of emotional distress and functional impairment. The caregivers' mental health--i.e. internalizing, externalizing and prosocial behaviour--was evaluated using the Oxford Measure of Psychosocial Adjustment. Difference-in-differences multiple regression analyses were used, within an intention-to-treat framework, to estimate the treatment effects. FINDINGS: Compared with the caregivers of participants of the control group, the caregivers of participants of the intervention group reported greater reductions in emotional distress (scale difference: 0.252; 95% confidence interval, CI: 0.026-0.4782) and greater improvements in prosocial behaviour (scale difference: 0.249; 95% CI: 0.012-0.486) between the two surveys. CONCLUSION: A psychotherapeutic intervention for war-affected young people can improve the mental health of their caregivers.

Ensuring ethical data access: the Sierra Leone Ebola Database (SLED) model.

PURPOSE: Organizations responding to the 2014-2016 Ebola epidemic in Sierra Leone collected information from multiple sources and kept it in separate databases, including distinct data systems for Ebola hot line calls, patient information collected by field surveillance officers, laboratory testing results, clinical information from Ebola treatment and isolation facilities, and burial team records. METHODS: After the conclusion of the epidemic, the Sierra Leone Ministry of Health and Sanitation and the U.S. Centers for Disease Control and Prevention partnered to collect these disparate records and consolidate them in the Sierra Leone Ebola Database. RESULTS: The Sierra Leone Ebola Database data are providing a lasting resource for postepidemic data analysis and epidemiologic research, including identifying best strategies in outbreak response, and are used to help families locate the graves of family members who died during the epidemic. CONCLUSION: This report describes the Ministry of Health and Sanitation and Centers for Disease Control and Prevention processes to safeguard Ebola records while making the data available for public health research.

Microbial Groundwater Quality Status of Hand-Dug Wells and Boreholes in the Dodowa Area of Ghana.

To assess the suitability of water sources for drinking purposes, samples were taken from groundwater sources (boreholes and hand-dug wells) used for drinking water in the Dodowa area of Ghana. The samples were analyzed for the presence of fecal indicator bacteria (Escherichia coli) and viruses (Adenovirus and Rotavirus), using membrane filtration with plating and glass wool filtration with quantitative polymerase chain reaction (PCR), respectively. In addition, sanitary inspection of surroundings of the sources was conducted to identify their vulnerability to pollution. The presence of viruses was also assessed in water samples from the Dodowa River. More than 70% of the hand-dug wells were sited within 10 m of nearby sources of contamination. All sources contained E. coli bacteria, and their numbers in samples of water between dug wells and boreholes showed no significant difference (p = 0.48). Quantitative PCR results for Adenovirus indicated 27% and 55% were positive for the boreholes and hand-dug wells, respectively. Samples from all boreholes tested negative for the presence of Rotavirus while 27% of the dug wells were positive for Rotavirus. PCR tests of 20% of groundwater samples were inhibited. Based on these results we concluded that there is systemic microbial and fecal contamination of groundwater in the area. On-site sanitation facilities, e.g., pit latrines and unlined wastewater drains, are likely the most common sources of fecal contamination of groundwater in the area. Water abstracted from groundwater sources needs to be treated before use for consumption purposes. In addition, efforts should be made to delineate protected areas around groundwater abstraction points to minimize contamination from point sources of pollution.